Analysis of Sediments on Iron Gall Inks in Manuscripts / Analyse von Ablagerungen auf Eisengallustinten in historischen Manuskripten / Analyse de sédiments sur les encres ferro-galliques dans les manuscrits anciens

2013 ◽  
Vol 34 (3) ◽  
Author(s):  
Núria Ferrer ◽  
M. Carme Sistach
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Calcium Carbonate ◽  
Infrared Spectrum ◽  
Calcium Sulphate ◽  
Efficient Tool ◽  
Mid Infrared ◽  
Iron Gall ◽  
Iron Sulphates ◽  
Selective Analysis

AbstractFourier transform infrared (FTIR) is an efficient tool to analyse deposits on iron gall inscriptions that appear on historic documents. Deposits look like white powder or whitish crystals under a microscope. Crystals show cubic or needle shapes with sizes below 20 μm. Mapping infrared spectroscopy in addition allows the selective identification of mixed deposits. Selective analysis of different inorganic oxalates is possible in four regions of the mid-infrared spectrum, thus avoiding interferences with bands of other compounds present. Calcium, potassium and iron oxalates, further calcium sulphate, calcium carbonate, basic iron sulphates and iron ammonium sulphate were identified on samples taken from selected manuscripts. The results enabled to establish a correlation of ink composition and the observed intensity of ink corrosion.

scholarly journals Fourier transform mid infrared spectroscopy applications for monitoring the structural plasticity of plant cell walls

2014 ◽  
Vol 5 ◽  
Author(s):  
Asier Largo-Gosens ◽  
Mabel Hernández-Altamirano ◽  
Laura García-Calvo ◽  
Ana Alonso-Simón ◽  
Jesús Álvarez ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Plant Cell ◽  
Cell Walls ◽  
Structural Plasticity ◽  
Plant Cell Walls ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

High throughput nutritional profiling of pea seeds using Fourier transform mid-infrared spectroscopy

2020 ◽  
Vol 309 ◽  
pp. 125585 ◽  
Author(s):  
Chithra Karunakaran ◽  
Perumal Vijayan ◽  
Jarvis Stobbs ◽  
Ramandeep Kaur Bamrah ◽  
Gene Arganosa ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
High Throughput ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Pea Seeds ◽  
Nutritional Profiling

scholarly journals High-Resolution Infrared Spectroscopy of the v1+ v4Band of14NF3:Reductions of the Rovibrational Hamiltonian

2012 ◽  
Vol 9 (1) ◽  
pp. 253-259 ◽  
Author(s):  
Hamid Najib ◽  
Siham Hmimou ◽  
Hicham Msahal
Keyword(s):  
Experimental Data ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Excited State ◽  
High Resolution ◽  
Infrared Spectrum ◽  
Fourier Transform Infrared ◽  
Sixth Order ◽  
Degenerate State ◽  
Unitary Equivalence

The high-resolution Fourier transform infrared spectrum of nitrogen trifluoride NF3has been studied in the v1+ v4perpendicular band region around 1523 cm−1. All experimental data have been refined applying various reduction forms of the effective rovibrational Hamiltonian developed for an isolated degenerate state of a symmetric top molecule. The v1= v4= 1 excited state of the14NF3oblate molecule was treated with models taking into account ℓ- andk-type intravibrational resonances. Parameters up to sixth order have been accurately determined and the unitary equivalence of the derived parameter sets in different reductions was demonstrated.

Vibrational spectroscopy in practice: Detection of mineral oil in sunflower oil with near- and mid-infrared spectroscopy

NIR news ◽  
2018 ◽  
Vol 29 (3) ◽  
pp. 6-11 ◽  
Author(s):  
Michael K-H Pfister ◽  
Bettina Horn ◽  
Janet Riedl ◽  
Susanne Esslinger ◽  
Carsten Fauhl-Hassek
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Sunflower Oil ◽  
Near Infrared ◽  
Limit Of Detection ◽  
Model Performance ◽  
Mineral Oil ◽  
Food Ingredient ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Fourier transform infrared spectroscopy becomes increasingly important for detecting adulterations in food due to a minimal sample preparation and a fast nondestructive measurement. Sunflower oil is a popular food ingredient, which might be contaminated or even adulterated by compounds with health concerns such as mineral oil. In this context a feasibility study was performed to compare the suitability of near- and mid-infrared spectroscopy for detecting mineral oil in sunflower oil. For this purpose, sunflower oils spiked with mineral oil in the concentration range of 0.001–1.0% w/w were analyzed by Fourier transform near- and mid-infrared spectroscopy, respectively, and spectra data were preprocessed prior to partial least squares regression. Hereby, the data preparation was optimized for each technique to account for model performance influences. The model performance was fairly similar for both approaches with a slightly better precision and thus limit of detection (near infrared 0.12% w/w, mid infrared 0.16% w/w) for the near-infrared-based model compared to the mid-infrared model. Consequently, both techniques are considered suitable for the determination of mineral oil in sunflower oil in the context of food authentication.

Production of DF* from Polytetrafluoroethylene and Deuterium Plasma as Observed in the Mid-Infrared by Fourier Transform Infrared Spectroscopy

1980 ◽  
Vol 34 (4) ◽  
pp. 408-410
Author(s):  
T. N. Gallaher ◽  
T. C. DeVore ◽  
R. O. Carter ◽  
C. Anderson
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Fourier Transform Infrared ◽  
Deuterium Plasma ◽  
Vibrationally Excited ◽  
Mid Infrared

The reaction of a deuterium plasma and polytetrafluoroethylene has been investigated. Vibrationally excited DF* (up to v′ = 3) has been observed in emission via Fourier transform infrared spectroscopy. The vibrational and rotational temperatures suggest that a mechanism similar to that found previously for the reaction between H atoms and the fluoroethylenes is responsible for the production of the DF.

scholarly journals Detection of adulterants in grape nectars by attenuated total reflectance Fourier-transform mid-infrared spectroscopy and multivariate classification strategies

2018 ◽  
Vol 266 ◽  
pp. 254-261 ◽  
Author(s):  
Carolina Sheng Whei Miaw ◽  
Marcelo Martins Sena ◽  
Scheilla Vitorino Carvalho de Souza ◽  
Maria Pilar Callao ◽  
Itziar Ruisanchez
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Attenuated Total Reflectance ◽  
Multivariate Classification ◽  
Mid Infrared ◽  
Total Reflectance ◽  
Mid Infrared Spectroscopy
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